1 research outputs found
Simulation of an Automated Sorting System for Peruvian mangoes based on computer vision
Agriculture is one of the most important
economic activities in Peru. Furthermore, the Peruvian mango
is the most important fruit as an export product on the
European market due to its good quality. Three varieties of
mango are cultivated in Peru: Haden, Kent and Tommy Atkins,
each of them presents different characteristics; however, the
production of this fruit is affected because manual processes are
still used for its production, which generates a delay in the
process due to the inaccuracy of the labour. The present study
aims to develop the simulation of an automated grading system
for Peruvian mangoes based on computer vision. On the other
hand, to establish the process development, the transfer learning
principle was analysed and a flow diagram of the system was
made. The simulation of the system environment was obtained
through the Factory IO software, together with the image
processing through the Matlab software, in which the
characteristics of the three mango varieties were introduced;
therefore, with this information, the system was able to carry
out the mango selection. Finally, it was concluded that the
presented design optimises the selection and storage time of the
mangoes, as well as automating the labour in the process